Kotseruba, I., & Tsotsos, J. K. (2022). Attention for vision-based assistive and automated driving: A review of algorithms and datasets. IEEE Transactions on Intelligent Transportation Systems. Biparva, M., Fernández-Llorca, D., Gonzalo, R. I., & Tsotsos, J. (2022). Video action recognition for lane-change classification and prediction of surrounding vehicles. IEEE Transactions on Intelligent Vehicles. Tsotsos, J. […]
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Paria Mehrani, a current postdoctoral visitor at the Lassonde School of Engineering, has won the Colour Research Society of Canada (CRSC) 2022 Student Award for Graduate Students. The award recognizes her work while she was a PhD student in Professor John Tsotsos’ lab in the Department of Electrical Engineering & Computer Science. Titled “A Biologically […]
Read MoreKotseruba, I., Rasouli, A., & Tsotsos, J. K. (2021). Benchmark for evaluating pedestrian action prediction. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1258-1268). Tsotsos, J. K., Abid, O., Kotseruba, I., & Solbach, M. D. (2021). On the control of attentional processes in vision. Cortex, 137, 305-329. Kotseruba, I., & […]
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Venues: Neurosciences 2021, Virtual Paper:Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms of local shape information transformation from V1 to more abstract representations in IT are unknown. Studying the selectivities in intermediate stages of transformation suggest plausible mechanisms. For example, findings in Macaque V4 […]
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Venue: CVR 2021, Virtual Paper: Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms involved in transforming early visual signals to curvature representations in V4 are unknown. We propose a hierarchical model that reveals V1/V2 encodings that are essential components for this transformation to the […]
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Venue: VSS 2021, Virtual Paper:Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms of local shape information transformation from V1 to more abstract representations in IT are unknown. Studying the selectivities in intermediate stages of transformation suggest plausible mechanisms. For example, Pasupathy and Conner [1] […]
Read MoreKotseruba, I., & Tsotsos, J. K. (2020). 40 years of cognitive architectures: core cognitive abilities and practical applications. Artificial Intelligence Review, 53(1), 17-94. Rasouli, A., Kotseruba, I., & Tsotsos, J. K. (2020). Pedestrian action anticipation using contextual feature fusion in stacked rnns. arXiv preprint arXiv:2005.06582. Kotseruba, I., Rasouli, A., & Tsotsos, J. K. (2020, October). […]
Read MoreA. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs,” In Proc. British Machine Vision Conference (BMVC), 2019. A. Rasouli and J. K. Tsotsos, “Autonomous vehicles that interact with pedestrians: A survey of theory and practice,” IEEE Transactions on Intelligent Transportation Systems, pp. 1-19, 2019. I. Kotseruba, […]
Read MoreVision researchers at York University have disproved a long-standing theory of how the human vision system processes images, using computational models and human experiments. A team led by John Tsotsos, professor in the Department of Electrical Engineering and Computer Science at the Lassonde School of Engineering, found that the human brain does not select interesting portions […]
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Venue: Neuroscience 2019, Chicago, IL Paper: Multiplicative modulations enhance unique hue representation in V4 Abstract: Which region in the brain represents unique hues is unknown. We introduce a hierarchical model inspired by neural mechanisms in the visual system for local hue representation and with computational simulations suggest that cells in V4 have the capacity to […]
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